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al_borland a day ago

It’s the same for me. Even if it technically work, the solution looks overly complicated and is hard to parse, which makes me think it will be hard to maintain.

This happened to me last week. I went back and forth with the AI for 2 days. My company then ran out of tokens for the months, so I just did it myself and came up with a solution that I feel is a lot more straightforward. That, plus all finishing touches, and testing were done by noon.

I find more and more that AI turns into a procrastination machine. I’ve only found it useful for things that are so basic the AI one-shot it, low stakes (logic issues won’t be a major issue), and completely independent, where I don’t really have to worry about maintaining it. For anything else I’m finding more and more than it’s faster to not try and have AI do anything.

rkochanowski 17 hours ago | parent [-]

That's why it's so important to design a solution before letting AI implement it. I noticed that AI often can't see clean, elegant and primitive solutions that fit best for a given problem. Even when I ask if it can be designed in a simpler way, it can't see what I can see. I think this is one of the most important points where humans should be involved.

al_borland 15 hours ago | parent [-]

I often figure out my design by writing code. By the time the design is figured out, it’s done. I’m not sure what AI adds to that equation.

I could do some of that in pseudo code, but it’s usually just as easy to make it work and actually test the hypothesis.